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crnn.mxnet

crnn in mxnet.can train with chinese characters

crnn.pytorch

Convolutional recurrent network in pytorch

crnn_attention_ocr_chinese

CRNN with attention to do OCR,add Chinese recognition

crnn_chinese_characters_rec

chinese characters recognition

crnn_mxnet

MXnet version of CRNN for OCR with CNN+2-layer BLSTM+CTC architecture.

crnn_seq2seq_ocr_pytorch

Extremely simple implement for Chinese OCR by PyTorch.

crnn_tensorflow

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

cropman

Face-aware image cropping.

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

crowdcount-mcnn

Single Image Crowd Counting via MCNN (Unofficial Implementation)

crpn

Corner-based Region Proposal Network

cs131_notes

Class notes for CS 131.

cs231n.github.io

Public facing notes page

csp

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

ctc

Numpy and Theano bindings for Baidu's warp-ctc

ctc-connectionist-temporal-classification

Theano implementation of CTC.

ctc-lstm

Theano implementation of CTC. Applied on TIMIT and a Toy dataset.

ctcdecode

PyTorch CTC Decoder bindings

ctcdecoder

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.

ctci

Cracking the Coding Interview

ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

ctpn.mxnet

Connectionist Text Proposal Network in MXNet

ctpn8

CTPN for CUDA 8.0

ctr

Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.

cuda

GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.

curve-text-detector

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

cvocr

An OCR(Optical Character Recognition) System implemented to recognize the character in a resume or cv.

cvpods

All-in-one Toolbox for Computer Vision Research.

cvpr17

CVPR 2017 Tutorial